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精准医学需要随机临床试验。

Precision medicine needs randomized clinical trials.

机构信息

International Drug Development Institute (IDDI), Avenue Provinciale 30, 1340 Ottignies-Louvain-la-Neuve, Belgium.

Institut Gustave Roussy, 114 Rue Edouard Vaillant, 94800 Villejuif, France.

出版信息

Nat Rev Clin Oncol. 2017 May;14(5):317-323. doi: 10.1038/nrclinonc.2017.8. Epub 2017 Feb 7.

DOI:10.1038/nrclinonc.2017.8
PMID:28169302
Abstract

The advent of precision medicine has prompted profound changes in clinical cancer research, and the rising numbers of new therapeutic agents pose challenges in terms of the most appropriate trial designs and effects on the drug-approval process. In the past 5 years, some remarkably efficacious drugs have been approved based on evidence from uncontrolled phase I trials. We challenge the view that the expected benefits from new drugs are generally sufficient to forgo a randomized trial with patients assigned to a control arm (a regimen other than the experimental treatment). Relying on efficacy results from uncontrolled clinical trials can result in expedited drug approval, but the disadvantages of this practice must be taken into account. For example, the apparent improvements in outcomes observed in an early single-arm trial of a new therapy might reflect the prognostic nature of the target, rather than a true treatment effect. Moreover, the predictive role of biomarkers cannot be definitively ascertained without randomly assigning patients to a control arm. We discuss the need for such randomization to a true control in all phases of drug development and the role of companion biomarker testing. We propose that an increased use of randomization will facilitate a seamless transition between phases of drug and/or biomarker development.

摘要

精准医学的出现促使临床癌症研究发生了深刻变化,新型治疗药物数量的增加给最适宜的试验设计和对药物审批过程的影响带来了挑战。在过去的 5 年中,一些疗效显著的药物已基于 I 期非对照试验的证据获得批准。我们质疑这样一种观点,即新药的预期收益通常足以避免对患者进行分组到对照组(即实验治疗以外的治疗方案)的随机试验。依赖于非对照临床试验的疗效结果可能会加速药物批准,但必须考虑到这种做法的缺点。例如,在新疗法早期的单臂试验中观察到的结局明显改善可能反映了目标的预后性质,而不是真正的治疗效果。此外,如果不给患者分组到对照组,就无法确定生物标志物的预测作用。我们讨论了在药物开发的所有阶段都需要进行这种与真正对照的随机化,以及伴随生物标志物检测的作用。我们提出,增加随机化的使用将有助于药物和/或生物标志物开发各阶段之间的顺利过渡。

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Bayesian Sequential Design for Identifying and Ranking Effective Patient Subgroups in Precision Medicine in the Case of Counting Outcome Data with Inflated Zeros.在存在大量零值的计数结果数据情况下,用于精准医学中识别有效患者亚组并进行排序的贝叶斯序贯设计。
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